VAGUENESS, TYPICALITY, AND UNCERTAINTY IN CLASS HIERARCHIES

被引:84
作者
DUBOIS, D
PRADE, H
ROSSAZZA, JP
机构
[1] Institut de Recherche en Informatique de Toulouse, Université Paul Sabatier, Toulouse, 31062
关键词
D O I
10.1002/int.4550060205
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper presents an object-centered representation, where both a range of allowed values and a range of typical values can be specified for the attributes describing a class. These ranges may be fuzzy. Then various kinds of (graded) inclusion relations can be defined between classes. Inheritance mechanisms are discussed in this framework, as well as other kinds of reasoning tasks such as classification. The architecture of a software system implementing these ideas is outlined.
引用
收藏
页码:167 / 183
页数:17
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